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Success rate for predicting discretised shifts in midpoint of inactivation. Shifts were grouped into three categories: more negative than −3 mV, between −3 mV and 3 mV, or more positive than 3 mV.
| Method | Accuracy | AUC |
|---|---|---|
| Zero-R | 43.8% | 0.5 |
| Random forest | 46.6% | 0.640 |
| Naive Bayes | 46.6% | 0.625 |
| MLP classifier | 49.3% | 0.606 |
| Support-vector machine | 50.7% | 0.617 |
| k-Nearest neighbour | 45.2% | 0.626 |
